Bootstrapping the conditional moment test for parametric duration models
James Prieger ()
Applied Economics Letters, 2003, vol. 10, issue 10, 597-600
Abstract:
The performance of auxiliary regression-based specification tests for parametric duration models estimated with censored data is evaluated. The test using asymptotic critical values has poor size. Bootstrapping corrects the size problem but results in a biased power curve.
Date: 2003
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.informaworld.com/openurl?genre=article& ... 40C6AD35DC6213A474B5 (text/html)
Access to full text is restricted to subscribers.
Related works:
Working Paper: Bootstrapping the Conditional Moment Test for Parametric Duration Models (2003) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:apeclt:v:10:y:2003:i:10:p:597-600
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEL20
DOI: 10.1080/1350485032000136379
Access Statistics for this article
Applied Economics Letters is currently edited by Anita Phillips
More articles in Applied Economics Letters from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().